CFAR (Constant False Alarm Rate) and sparse representation-based high-resolution SAR (Synthetic Aperture Radar) image ship detection method

A technology for ship detection and sparse representation, applied in the field of remote sensing image processing, can solve the problems of reduced identification performance, poor detection result performance, and low algorithm adaptability, so as to improve detection performance, overcome the impact of detection performance, and reduce data amount of effect

Active Publication Date: 2013-11-20
XIDIAN UNIV
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Problems solved by technology

[0006] In the traditional CFAR-based SAR image ship target detection method, it is necessary to manually set the size of the sliding window and the width of the protection area, and these parameters are actually based on the manual estimation of the target information in the image. That is to say, the traditional CFAR-based SAR image ship detection method is actually a semi-automatic detection method; secondly, due to the different SAR image imaging parameters and scen

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  • CFAR (Constant False Alarm Rate) and sparse representation-based high-resolution SAR (Synthetic Aperture Radar) image ship detection method
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  • CFAR (Constant False Alarm Rate) and sparse representation-based high-resolution SAR (Synthetic Aperture Radar) image ship detection method

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[0029] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0030] Step 1: Select the ship target training sample and set the size of the sliding window and the width of the protection area.

[0031] 1.1) For a high-resolution SAR image I used for ship detection, use a rectangular frame to manually select a ship target I in the high-resolution SAR image I t , the area contained in the rectangular box is the ship target training sample I t , the selection principle of the rectangular frame is as small as possible and ensure that the selected ship does not exceed the rectangular frame, and the larger side length of the rectangular frame is r;

[0032] 1.2) The high-resolution SAR image I is down-sampled into a low-resolution image I′ by rows and columns with a step size s, where s∈{2,4,6}, the size of s is determined according to the resolution of I, and the resolution The higher the value, the larger the step size s, otherwise the sm...

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Abstract

The invention discloses a CFAR (Constant False Alarm Rate) and sparse representation-based high-resolution SAR (Synthetic Aperture Radar) image ship detection method, which mainly solves the problems of large data quantity to be processed and low real-time property existing in the conventional method. The method comprises the following detection steps: selecting a ship target training sample in a high-resolution SAR image and determining the size of a CFAR sliding window by the training sample; down-sampling the high-resolution image, performing image segmentation and land elimination on the high-resolution image, detecting in a low-resolution image by using the CFAR method and performing preliminary identification, and mapping a detected pixel point to a potential target region in the original high-resolution image; outputting potential target region slices obtained by all detection; and finally, extracting characteristic vectors of the potential target region slices respectively and identifying through a sparse representation classifier to obtain a final ship detection result. The CFAR and sparse representation-based high-resolution SAR image ship detection method has the advantages of high detection speed, high detection rate and low false alarm rate, and can be used for fishery supervision, maritime safety management and the like.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a SAR image ship detection method, which can be used for fishery supervision and maritime safety management. Background technique [0002] Ship detection is of great significance to fishery supervision and maritime safety management. Since Synthetic Apertuer Radar (SAR) has the advantages of all-weather and all-weather, the research on automatic target recognition technology of SAR image has been continuously It is one of the hotspots in the remote sensing neighborhood. [0003] Target detection is the basis of target recognition, and the main task of ship detection is to locate the positions of all ships and false alarms in a scene, and perform identification processing to eliminate false alarms, and finally output slices of ship targets for later Identify jobs. [0004] At present, there are a variety of practical ship target detection systems, such as t...

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Application Information

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IPC IPC(8): G06K9/66
Inventor 杨淑媛焦李成刘赵强侯彪张向荣缑水平穆彩虹马文萍钟桦韩红
Owner XIDIAN UNIV
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